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The evolving role of agricultural technology indicators and economic growth in rural poverty: has the ideas machine broken down?

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  • Muhammad Khan
  • Muhammad Khan
  • Khalid Zaman
  • Muhammad Khan

Abstract

The objective of the study is to examine the impact of technical progress in agriculture on changes in rural poverty in Pakistan by using annual data from 1975–2011. Data is analyzed by the set of sophisticated econometric techniques i.e., cointegration theory, Granger causality test and variance decomposition, etc. The results reveal that agricultural technology indicators act as an important driver to alleviate rural poverty in Pakistan. Granger causality test indicate that causality runs from technological indicators to rural poverty but not vice versa. However, agricultural irrigated land and industry value added, both does not Granger cause rural poverty, which holds neutrality hypothesis between the variables. Variance decomposition analysis shows that among all the technological indicators, agricultural machinery in form of tractors have exerts the largest contribution to changes in rural poverty in Pakistan. The study concludes that agricultural technology indicators are closely associated with economic growth and rural poverty in Pakistan. Technology in Pakistan has a low pace but still old technology continuously contributed towards poverty reduction. The question whether idea machine is broken down or not? Still need further exploration. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Muhammad Khan & Muhammad Khan & Khalid Zaman & Muhammad Khan, 2014. "The evolving role of agricultural technology indicators and economic growth in rural poverty: has the ideas machine broken down?," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2007-2022, July.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:4:p:2007-2022
    DOI: 10.1007/s11135-013-9877-6
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    Cited by:

    1. Atta Khan & Abdul Saboor & Ikram Ali & Wasim Malik & Khalid Mahmood, 2016. "Urbanization of multidimensional poverty: empirical evidences from Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 439-469, January.
    2. Nayab Khalid & Ayesha Siddiqa & Sheraz Ahmad Ch & Khalid Zaman, 2018. "Impact of Agriculture Sector Development on Economic Growth: Application of Robust Linear Least Squares Regression on Pakistan’s Data Set," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 14(4), pages 631-641, AUGUST.

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